kdcyberdude
commited on
Commit
•
58f4db5
1
Parent(s):
2070c1a
Training in progress, step 2000, checkpoint
Browse files- checkpoint-2000/README.md +202 -0
- checkpoint-2000/adapter_config.json +37 -0
- checkpoint-2000/adapter_model.safetensors +3 -0
- checkpoint-2000/optimizer.pt +3 -0
- checkpoint-2000/rng_state.pth +3 -0
- checkpoint-2000/scheduler.pt +3 -0
- checkpoint-2000/special_tokens_map.json +34 -0
- checkpoint-2000/tokenizer.json +3 -0
- checkpoint-2000/tokenizer.model +3 -0
- checkpoint-2000/tokenizer_config.json +1758 -0
- checkpoint-2000/trainer_state.json +1433 -0
- checkpoint-2000/training_args.bin +3 -0
checkpoint-2000/README.md
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---
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library_name: peft
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base_model: /mnt/sea/Punjabi_LLM/NEW/gemma_pa_llm_exp1_merged_66000_sft_checkpoint-11000-again_with_emb_train_as_well
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---
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# Model Card for Model ID
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<!-- Provide a quick summary of what the model is/does. -->
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## Model Details
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### Model Description
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<!-- Provide a longer summary of what this model is. -->
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- **Developed by:** [More Information Needed]
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- **Funded by [optional]:** [More Information Needed]
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- **Shared by [optional]:** [More Information Needed]
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- **Model type:** [More Information Needed]
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- **Language(s) (NLP):** [More Information Needed]
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- **License:** [More Information Needed]
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- **Finetuned from model [optional]:** [More Information Needed]
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### Model Sources [optional]
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<!-- Provide the basic links for the model. -->
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- **Repository:** [More Information Needed]
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- **Paper [optional]:** [More Information Needed]
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- **Demo [optional]:** [More Information Needed]
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## Uses
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<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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### Direct Use
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<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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[More Information Needed]
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### Downstream Use [optional]
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<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
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[More Information Needed]
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### Out-of-Scope Use
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<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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[More Information Needed]
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## Bias, Risks, and Limitations
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<!-- This section is meant to convey both technical and sociotechnical limitations. -->
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[More Information Needed]
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### Recommendations
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<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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## How to Get Started with the Model
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Use the code below to get started with the model.
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[More Information Needed]
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## Training Details
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### Training Data
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<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
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[More Information Needed]
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### Training Procedure
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<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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#### Preprocessing [optional]
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[More Information Needed]
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#### Training Hyperparameters
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- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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#### Speeds, Sizes, Times [optional]
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<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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[More Information Needed]
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## Evaluation
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<!-- This section describes the evaluation protocols and provides the results. -->
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### Testing Data, Factors & Metrics
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#### Testing Data
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<!-- This should link to a Dataset Card if possible. -->
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[More Information Needed]
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#### Factors
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<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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[More Information Needed]
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#### Metrics
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<!-- These are the evaluation metrics being used, ideally with a description of why. -->
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[More Information Needed]
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### Results
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[More Information Needed]
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#### Summary
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## Model Examination [optional]
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<!-- Relevant interpretability work for the model goes here -->
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[More Information Needed]
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## Environmental Impact
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<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
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Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
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- **Hardware Type:** [More Information Needed]
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- **Hours used:** [More Information Needed]
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- **Cloud Provider:** [More Information Needed]
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- **Compute Region:** [More Information Needed]
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- **Carbon Emitted:** [More Information Needed]
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## Technical Specifications [optional]
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### Model Architecture and Objective
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[More Information Needed]
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### Compute Infrastructure
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[More Information Needed]
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#### Hardware
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[More Information Needed]
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#### Software
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[More Information Needed]
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## Citation [optional]
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<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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**BibTeX:**
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[More Information Needed]
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**APA:**
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[More Information Needed]
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## Glossary [optional]
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<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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[More Information Needed]
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## More Information [optional]
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[More Information Needed]
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## Model Card Authors [optional]
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[More Information Needed]
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## Model Card Contact
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[More Information Needed]
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### Framework versions
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- PEFT 0.10.0
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checkpoint-2000/adapter_config.json
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{
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"alpha_pattern": {},
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"auto_mapping": null,
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"base_model_name_or_path": "/mnt/sea/Punjabi_LLM/NEW/gemma_pa_llm_exp1_merged_66000_sft_checkpoint-11000-again_with_emb_train_as_well",
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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"init_lora_weights": true,
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"layer_replication": null,
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"layers_pattern": null,
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"layers_to_transform": null,
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"loftq_config": {},
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"lora_alpha": 64,
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"lora_dropout": 0,
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"megatron_config": null,
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"megatron_core": "megatron.core",
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"modules_to_save": [
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"embed_tokens",
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"lm_head"
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],
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"peft_type": "LORA",
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"r": 32,
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"rank_pattern": {},
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"revision": "unsloth",
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"target_modules": [
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"v_proj",
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"q_proj",
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"gate_proj",
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"up_proj",
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"o_proj",
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"down_proj",
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"k_proj"
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],
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"task_type": "CAUSAL_LM",
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"use_dora": false,
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"use_rslora": false
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}
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checkpoint-2000/adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:cd9f37b7ef622ddf971e3dc38936bd599f35d96806923d2cf802ecf6c91bef2e
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size 4351231960
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checkpoint-2000/optimizer.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:3f4acf639ed3a290e81934ea18b5c7b3ee2e86a022a933b04309ab9f98051493
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size 8702551034
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checkpoint-2000/rng_state.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:f7361d096916f558d6b135e234cb87021fe9c6dc7f10a56868e5238d1d27c50e
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size 14244
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checkpoint-2000/scheduler.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:28d5b6559dbac510384f005b95b23024a9295105c1d220c87fbdd852927e9d42
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size 1064
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checkpoint-2000/special_tokens_map.json
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{
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"additional_special_tokens": [
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"<start_of_turn>",
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"<end_of_turn>"
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],
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"bos_token": {
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"content": "<bos>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"eos_token": {
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"content": "<eos>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"pad_token": {
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"content": "<pad>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"unk_token": {
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"content": "<unk>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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}
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}
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checkpoint-2000/tokenizer.json
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version https://git-lfs.github.com/spec/v1
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oid sha256:7da53ca29fb16f6b2489482fc0bc6a394162cdab14d12764a1755ebc583fea79
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size 17518525
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checkpoint-2000/tokenizer.model
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version https://git-lfs.github.com/spec/v1
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oid sha256:61a7b147390c64585d6c3543dd6fc636906c9af3865a5548f27f31aee1d4c8e2
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size 4241003
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checkpoint-2000/tokenizer_config.json
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1 |
+
{
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2 |
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|
3 |
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"add_eos_token": false,
|
4 |
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"added_tokens_decoder": {
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5 |
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6 |
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7 |
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8 |
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11 |
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12 |
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18 |
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19 |
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20 |
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24 |
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26 |
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27 |
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28 |
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30 |
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31 |
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32 |
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33 |
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34 |
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35 |
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36 |
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38 |
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39 |
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40 |
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42 |
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44 |
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52 |
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54 |
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"lstrip": false,
|
1648 |
+
"normalized": false,
|
1649 |
+
"rstrip": false,
|
1650 |
+
"single_word": false,
|
1651 |
+
"special": false
|
1652 |
+
},
|
1653 |
+
"206": {
|
1654 |
+
"content": "<sup>",
|
1655 |
+
"lstrip": false,
|
1656 |
+
"normalized": false,
|
1657 |
+
"rstrip": false,
|
1658 |
+
"single_word": false,
|
1659 |
+
"special": false
|
1660 |
+
},
|
1661 |
+
"207": {
|
1662 |
+
"content": "<code>",
|
1663 |
+
"lstrip": false,
|
1664 |
+
"normalized": false,
|
1665 |
+
"rstrip": false,
|
1666 |
+
"single_word": false,
|
1667 |
+
"special": false
|
1668 |
+
},
|
1669 |
+
"208": {
|
1670 |
+
"content": "</strong>",
|
1671 |
+
"lstrip": false,
|
1672 |
+
"normalized": false,
|
1673 |
+
"rstrip": false,
|
1674 |
+
"single_word": false,
|
1675 |
+
"special": false
|
1676 |
+
},
|
1677 |
+
"209": {
|
1678 |
+
"content": "</em>",
|
1679 |
+
"lstrip": false,
|
1680 |
+
"normalized": false,
|
1681 |
+
"rstrip": false,
|
1682 |
+
"single_word": false,
|
1683 |
+
"special": false
|
1684 |
+
},
|
1685 |
+
"210": {
|
1686 |
+
"content": "</b>",
|
1687 |
+
"lstrip": false,
|
1688 |
+
"normalized": false,
|
1689 |
+
"rstrip": false,
|
1690 |
+
"single_word": false,
|
1691 |
+
"special": false
|
1692 |
+
},
|
1693 |
+
"211": {
|
1694 |
+
"content": "</i>",
|
1695 |
+
"lstrip": false,
|
1696 |
+
"normalized": false,
|
1697 |
+
"rstrip": false,
|
1698 |
+
"single_word": false,
|
1699 |
+
"special": false
|
1700 |
+
},
|
1701 |
+
"212": {
|
1702 |
+
"content": "</u>",
|
1703 |
+
"lstrip": false,
|
1704 |
+
"normalized": false,
|
1705 |
+
"rstrip": false,
|
1706 |
+
"single_word": false,
|
1707 |
+
"special": false
|
1708 |
+
},
|
1709 |
+
"213": {
|
1710 |
+
"content": "</s>",
|
1711 |
+
"lstrip": false,
|
1712 |
+
"normalized": false,
|
1713 |
+
"rstrip": false,
|
1714 |
+
"single_word": false,
|
1715 |
+
"special": false
|
1716 |
+
},
|
1717 |
+
"214": {
|
1718 |
+
"content": "</sub>",
|
1719 |
+
"lstrip": false,
|
1720 |
+
"normalized": false,
|
1721 |
+
"rstrip": false,
|
1722 |
+
"single_word": false,
|
1723 |
+
"special": false
|
1724 |
+
},
|
1725 |
+
"215": {
|
1726 |
+
"content": "</sup>",
|
1727 |
+
"lstrip": false,
|
1728 |
+
"normalized": false,
|
1729 |
+
"rstrip": false,
|
1730 |
+
"single_word": false,
|
1731 |
+
"special": false
|
1732 |
+
},
|
1733 |
+
"216": {
|
1734 |
+
"content": "</code>",
|
1735 |
+
"lstrip": false,
|
1736 |
+
"normalized": false,
|
1737 |
+
"rstrip": false,
|
1738 |
+
"single_word": false,
|
1739 |
+
"special": false
|
1740 |
+
}
|
1741 |
+
},
|
1742 |
+
"additional_special_tokens": [
|
1743 |
+
"<start_of_turn>",
|
1744 |
+
"<end_of_turn>"
|
1745 |
+
],
|
1746 |
+
"bos_token": "<bos>",
|
1747 |
+
"chat_template": "{{ bos_token }}{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% for message in messages %}{{'<start_of_turn>'}}{% if message['from'] == 'system' %}{{'system'}}{% elif message['from'] == 'gpt' %}{{'model'}}{% elif message['from'] == 'human' %}{{'user'}}{% endif %}{{'\n' + message['value'] + '<end_of_turn>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<start_of_turn>model\n' }}{% endif %}",
|
1748 |
+
"clean_up_tokenization_spaces": false,
|
1749 |
+
"eos_token": "<eos>",
|
1750 |
+
"model_max_length": 8192,
|
1751 |
+
"pad_token": "<pad>",
|
1752 |
+
"padding_side": "right",
|
1753 |
+
"sp_model_kwargs": {},
|
1754 |
+
"spaces_between_special_tokens": false,
|
1755 |
+
"tokenizer_class": "GemmaTokenizer",
|
1756 |
+
"unk_token": "<unk>",
|
1757 |
+
"use_default_system_prompt": false
|
1758 |
+
}
|
checkpoint-2000/trainer_state.json
ADDED
@@ -0,0 +1,1433 @@
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